Accurate Localization of Wireless Sensor Node Using Genetic Algorithm And Kalman Filter
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: In wireless sensor network finding the node position is known as localization. Wireless sensor networks are widely adopted in many location sensitive applications including disaster management, environmental monitoring, military applications where the precise estimation of each node position is inevitably important when the absolute positions of a relatively small portion as anchor nodes of the underlying network were predetermined. Intrinsically, localization is an unconstrained optimization problem based on various distance/path measures. Most of the existing localization methods focus on using different heuristic-based or mathematical techniques to increase the precision in position estimation. The anchor nodes transmit somereference signals and other nodes utilize them with a few calculations to find their position. Generally the received signal strength indicator (RSSI) is used for distance estimation and angle of arrival (AOA) is used for direction estimation. However the estimation of distance from RSSI in not useful when number of channel are increase and the exact estimation of accurate angle requires complex reception apparatus, and even then it may influenced by multipath fading. Henceforth in this paper we are presenting the Kalman filter based approach which treats the RSSI as prior and AOA as measured and attempts to discover the best location by fulfilling both the criteria with insignificant slip.
Authors and Affiliations
Aditi Shrivastava , Dr. Kavita Burse , Saurabh Jain
Keywords
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